[Association between fatty liver and type 2 diabetes in the baseline population of Jinchang Cohort].

Objective: To explore the association between fatty liver and type 2 diabetes mellitus (T2DM) in the baseline-population of Jinchang cohort study. Methods: Data from all the participants involved in the baseline-population of Jinchang cohort study was used, to compare the risks of T2DM in fatty liver and non fatty liver groups and to explore the interaction between family history or fatty liver of diabetes and the prevalence of T2DM. Results: Among all the 46 861 participants, 10 574 were diagnosed as having fatty liver (22.56%), with the standardized rate as 20.66%. Another 3 818 participants were diagnosed as having T2DM (8.15%) with standardized rate as 6.90%. The prevalence of T2DM increased in parallel with the increase of age (trend χ(2)=2 833.671, trend P<0.001). The prevalence of T2DM in the fatty liver group was significantly higher than that in the non-fatty liver group, both in men or women and in the overall population. Compared with the group of non-fatty liver, the risks of T2DM in fatty liver group were seen 1.78 times higher in males, 2.33 times in women and 2.10 times in the overall population, after adjustment for factors as age, levels of education, smoking, drinking, physical exercise, BMI, family history of diabetes and some metabolic indicators (pressure, TC, TG, uric acid, ALT, AST, gamma-glutamyl transferase). Date from the interaction model showed that fatty liver and family history of diabetes present a positive additive interaction on T2DM (RERI=1.18, 95%CI: 0.59-1.78; AP=0.24, 95%CI: 0.14-0.34; S=1.43, 95%CI: 1.21-1.69). Conclusions: Fatty liver could significantly increase the risk of T2DM and a positive additive interaction was also observed between fatty liver and family history of diabetes on T2DM. It was important to strengthen the prevention program on T2DM, in order to effectively control the development of fatty liver.

[Risk factors of gout in Jinchang cohort: a Cox regression analysis].

Objective: To explore the incidence and risk factors of gout in Jinchang cohort and provide scientific evidence for the prevention and control of gout. Methods: People without gout detected by baseline survey in Jinchang cohort were selected as study subjects. All the subjects were followed up through questionnaire interview, physical examination as well as laboratory test from January 24, 2013 to November 24, 2015. Cox regression model was used to analyze the risk factors for gout in Jinchang cohort. In addition, log-linear model was used to analyze the interaction between risk factors. Results: A total of 33 153 subjects were followed up, and there were 277 newly diagnosed gout cases in the cohort. The overall incidence of gout was 0.8%. The incidence of gout in males was higher than that in the females, but the incidence of gout in males and females was similar after the age of 60 years. Cox regression analysis showed that age >40 years (at age 40 to 59 years: HR=2.982, 95%CI: 1.503-5.981; at age 60 to 91 years: HR=2.588, 95%CI: 1.107-6.049), alcohol abuse (HR=2.234, 95% CI: 1.128-4.427), obesity (HR=2.204, 95% CI: 1.216-3.997), diabetes (HR=2.725, 95% CI: 1.500-4.950) and high uric acid (HR=5.963, 95%CI: 3.577-9.943) were risk factors for gout, while weekly beans intake ≥0.25 kg (HR=0.528, 95%CI: 0.345-0.808) and regular physical exercise (HR=0.499, 95% CI: 0.286-0.869) were protective factors for gout. The analysis with log-linear model showed that there were two order effects between the risk factors. Conclusions: Age, beans intake, alcohol abuse, physical exercises, obesity, diabetes and high uric acid were important factors influencing the incidence of gout. It is important to have healthy lifestyle and dietary habits, receive regular health examination to prevent and control the incidence of gout in this cohort.